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Academic Journal of Computing & Information Science, 2021, 4(5); doi: 10.25236/AJCIS.2021.040512.

Technical Demand Analysis of Judicial Big Data Application under Risky Driving Behavior of Drivers


Yan Fan1, Yilan Wu2,3

Corresponding Author:
Yan Fan

1Institute for Advanced Studies in Humanities and Social Science, Chongqing University, Chongqing, China  

2Criminal Law School, East China University of Political Science and Law, Shanghai, China

3Police Department, Anhui Vocational College of Police Officers, Hefei, China


According to the rapid development of the global economy and the continuous improvement of people's living standards, more and more people have a car driving license. We must pay attention to standardize the driving behavior of drivers, which is important to ensure personal safety. The survey also found that more than half of traffic accidents are related to dangerous driving behavior. However, in judicial judgment, there are many problems in judicial application which can not be solved because of the abstract provisions of laws in various countries. If the method of big data can be used as a reference for determining risky driving behaviors of drivers, it can provide evidence for identification, improve the accuracy of judicial judgment, and timely avoid some accidents. This paper aims to explore what application technical support is needed by judicial big data in determining risky driving behaviors of drivers.


judicial big data, risky driving, application technology requirements

Cite This Paper

Yan Fan, Yilan Wu. Technical Demand Analysis of Judicial Big Data Application under Risky Driving Behavior of Drivers. Academic Journal of Computing & Information Science (2021), Vol. 4, Issue 5: 85-90. https://doi.org/10.25236/AJCIS.2021.040512.


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